Argentina vs Philippines: Soya beans — Gross Production Index Number
Argentina
83.3
in 2024
Philippines
85.04
in 2024
Argentina rank
74th
Philippines rank
72nd
Soya beans — Gross Production Index Number over time
- Argentina
- Philippines
How they compare
Philippines currently reports 85.04 against 83.3 in Argentina, a difference of 1.74.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Philippines ahead.
Argentina ranks 74th and Philippines ranks 72nd of 85 countries.
Philippines has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Argentina | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.0289 | 232.1 | 232.07 | Philippines |
| 1970s | 1.68 | 748.88 | 747.2 | Philippines |
| 1980s | 10.21 | 1,317 | 1,307 | Philippines |
| 1990s | 22.45 | 370.41 | 347.96 | Philippines |
| 2000s | 59.94 | 157.44 | 97.5 | Philippines |
| 2010s | 88.57 | 111.59 | 23.02 | Philippines |
| 2020s | 73.3 | 91.13 | 17.83 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production index number, Argentina or Philippines?
- Philippines, at 85.04 against 83.3 in Argentina as of 2024.
- What is the difference in soya beans — gross production index number between Argentina and Philippines?
- 1.74, with Philippines ahead.
- How many years of comparable data are there for Argentina and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do Argentina and Philippines rank globally for soya beans — gross production index number?
- Argentina ranks 74th and Philippines ranks 72nd of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.